IET Systems Biology
IET Systems Biology is a journal indexed in SJR in Cell Biology and Molecular Biology with an H index of 53. It has an SJR impact factor of 0,459 and it has a best quartile of Q2. It has an SJR impact factor of 0,459.
Metrics
Scimago and CountryOfPapers database fields
SJR Impact
0,459
H-index
53
Docs (year)
24
Docs 3y
63
Total refs
1186
Cites 3y
154
Citable 3y
63
Cites/Doc 2y
2.31
Ref/Doc
49.42
Immediate OA
—
Embargoed OA
NPD
Non OA / Submission
—
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Researcher reviews
Best articles by citations
Computational approaches for understanding the diagnosis and treatment of Parkinson's disease
View moreUsing graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer
View moreDesign of dynamic genetic memory
View moreDeploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation
View moreDependence of bacterial growth rate on dynamic temperature changes
View moreDeciphering the expression dynamics of ANGPTL8 associated regulatory network in insulin resistance using formal modelling approaches
View moreCross-platform method for identifying candidate network biomarkers for prostate cancer
View moreCoupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon
View moreControl strategy design for the anti-HBV mathematical model
View moreConstruction and analysis of microRNA-transcription factor regulation network in arabidopsis
View moreConservation laws and unidentifiability of rate expressions in biochemical models
View moreComputational modelling identifies the impact of subtle anatomical variations between amphibian and mammalian skeletal muscle on spatiotemporal calcium dynamics
View moreComputational inference of replication and transcription activator regulator activity in herpesvirus from gene expression data
View moreA minimal mathematical model combining several regulatory cycles from the budding yeast cell cycle
View moreComparison of adaptation motifs: temporal, stochastic and spatial responses
View moreCombinatorial regulation: characteristics of dynamic correlations
View moreChecking the reliability of a linear-programming based approach towards detecting community structures in networks
View moreChaotic emperor penguin optimised extreme learning machine for microarray cancer classification
View moreCell commitment motif composed of progenitor-specific transcription factors and mutual-inhibition regulation
View moreBiomolecular implementation of linear I/O systems
View moreBiological mechanisms revealed by a mathematical model for p53-Mdm2 core regulation
View moreBiclustering-based association rule mining approach for predicting cancer-associated protein interactions
View moreArchitecture-dependent robustness in a class of multiple positive feedback loops
View moreAdaptive non-linear control for cancer therapy through a Fokker-Planck observer
View more